Culture Knowledge Base

The publication by Jake Carlson provides instructions on how to use the so-called "toolkit" for documenting research data, as well as templates and examples compiled for free use by Purdue University in the US.

The site provides detailed information on why, how and which research data should be documented in accordance with the FAIR criteria, with regard to formats, vocabularies, languages, protocols, repositories, persistent identifications.

The overview compilation of forschungsdaten.info offers a first insight around tools for data organization of scientific data. It refers to various tools and software as well as their documentation.

A research data policy for research projects creates transparency in the handling of research data and requires planning, documentation and description. The contents of the guide will be transferred to an online generator as the project progresses.

The topic of data organization is addressed here in an overview and some measures for good data organization are presented, as well as references to other, related topics.

The article provides an overview of the data lifecycle and its individual stages.

In its discussion impulse on the scientific, scholarly and cultural use of collections, the Council for Information Infrastructures (RfII) addressed the (future) role of collecting institutions in the digital transformation of science with regard to the framework conditions.

The position paper of the Council for Information Infrastructures (RfII) deals with quality assurance and enhancement in the documentation of research data and is a comprehensive and motivating analysis on the topic of quality assurance in the science system.

Iconclass is a comprehensive classification system for the indexing of representational content in pictorial collections that is used in museums, libraries and research projects worldwide. It is particularly suitable for indexing Western art.

The teaching and training manual is intended to support higher education institutions in integrating FAIR-specific content into curricula. It offers a comprehensive presentation of all FDM and FAIR topics, arranged by competence profiles, and includes practical material.

GO FAIR is a bottom-up initiative aiming to implement the FAIR data principles and make data discoverable, accessible, interoperable and reusable (FAIR). It provides an implementation network active in the areas of GO CHANGE, GO TRAIN, GO BUILD.

The page explains the FAIR principles quickly and clearly. On the one hand, it describes the tasks involved in creating FAIR research data, and on the other hand, it presents the requirements for repositories to offer FAIR data.

To counteract ambiguities in the interpretation of FAIR principles, the Research Data Alliance has developed core assessment criteria for FAIRness of data and formulated a set of indicators, including a checklist, as a starting point for reviewing your own data.

The guideline of the German Museums Association on dealing with collections from colonial contexts provides information and working aids for collections in researching, documenting and presenting objects and in cooperating with societies of origin.

The tool allows researchers to independently determine whether and how they process personal data. In this way, the responsibility remains with the researchers and the assessment takes into account all the details of the research activity.

The 2017 paper by Cordula Franzke ("Repositories for research data using the example of the Digital Humanities in national and international comparison") deals with the basic quality criteria for repositories.

re3data is a service for searching research data repositories worldwide. It is possible to search specifically by content categorization (e.g. subject areas).

This DFG questionnaire helps researchers to plan and describe the handling of research data in their project beyond the context of an application.